Linguistic stochastic dominance to support consensus reaching in group decision making with linguistic distribution assessments

The complexity of linguistic distribution assessments increases the difficulty for decision makers dealing with them. Recently, stochastic dominance has been varied to be a useful tool compare two variables. Inspired by this, in this paper we dedicate utilizing and further discuss consensus reaching issue GDM assessments. First, introduce three types individuals’ semantic sensitivity. Based on define dominances respectively under different sensitivity contexts, then provide several desirable properties. Then, design resolution framework based (CRRF-LSD). Finally, case study is provided show application value CRRF-LSD, comparison analyses are conducted advantages CRRF-LSD. results that proposed method clear over classical existing methods comparing Meanwhile, only CRRF-LSD takes PIS into account, which helpful determine more accurate individual ranking results.